Texture classification using Minkowski distance measure-based clustering for feature selection-Reference-Cited by-同舟云学术

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Texture classification using Minkowski distance measure-based clustering for feature selection

Published:2021-11-17 Issue:04 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Rao Medabalimi S.¹,Reddy Bodireddy E.²,Ramana Kadiyala¹,Prasanna Kottapalli¹,Singh Saurabh³

Affiliation:

1. Annamacharya Institute of Technology and Sciences, Department of AI & DS, Rajampet, Andhra Pradesh

2. Jawaharlal Nehru Technological University Anantapur, Director of Admissions and Software Development

3. Dongguk University, Department of Industrial and System Engineering, Seoul

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Texture Feature Extraction and Classification Using Machine Learning Techniques;Lecture Notes in Electrical Engineering;2023-12-16

2. An efficient approach for textual data classification using deep learning;Frontiers in Computational Neuroscience;2022-09-15

3. Recognition of coal and gangue based on multi-dimensional gray gradient feature fusion;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2022-09-06

4. Thangka Yidam classification based on DenseNet and SENet;Journal of Electronic Imaging;2022-08-13

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